Carlos Ciller

535 total citations
16 papers, 143 citations indexed

About

Carlos Ciller is a scholar working on Radiology, Nuclear Medicine and Imaging, Ophthalmology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Carlos Ciller has authored 16 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Radiology, Nuclear Medicine and Imaging, 12 papers in Ophthalmology and 4 papers in Computer Vision and Pattern Recognition. Recurrent topics in Carlos Ciller's work include Retinal Imaging and Analysis (15 papers), Retinal Diseases and Treatments (9 papers) and Retinal and Optic Conditions (5 papers). Carlos Ciller is often cited by papers focused on Retinal Imaging and Analysis (15 papers), Retinal Diseases and Treatments (9 papers) and Retinal and Optic Conditions (5 papers). Carlos Ciller collaborates with scholars based in Switzerland, Spain and Australia. Carlos Ciller's co-authors include Stefanos Apostolopoulos, Sandro De Zanet, Agata Mosinska, Irmela Mantel, Raphael Sznitman, Meritxell Bach Cuadra, Jacopo Guidotti, Francis L. Munier, Philippe Maeder and Ciara Bergin and has published in prestigious journals such as PLoS ONE, Scientific Reports and International Journal of Radiation Oncology*Biology*Physics.

In The Last Decade

Carlos Ciller

14 papers receiving 143 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Carlos Ciller Switzerland 8 113 109 31 17 7 16 143
Sandro De Zanet Switzerland 8 167 1.5× 158 1.4× 38 1.2× 22 1.3× 10 1.4× 20 210
Stefanos Apostolopoulos Switzerland 7 96 0.8× 82 0.8× 33 1.1× 16 0.9× 5 0.7× 14 125
Abraham Olvera‐Barrios United Kingdom 8 169 1.5× 160 1.5× 15 0.5× 8 0.5× 12 1.7× 33 209
Zhenzhe Lin China 7 70 0.6× 36 0.3× 19 0.6× 19 1.1× 3 0.4× 11 124
Gidi Benyamini United States 5 250 2.2× 250 2.3× 16 0.5× 13 0.8× 8 1.1× 10 273
Timothy J. Bennett United States 4 61 0.5× 68 0.6× 16 0.5× 5 0.3× 9 1.3× 6 98
Elias Khalili Pour Iran 11 209 1.8× 233 2.1× 32 1.0× 12 0.7× 29 4.1× 69 306
Ludmila Jitskaia Australia 6 133 1.2× 138 1.3× 10 0.3× 22 1.3× 3 0.4× 8 172
Naoko Takada Japan 9 244 2.2× 259 2.4× 28 0.9× 73 4.3× 15 2.1× 16 325
Giacomo Boscia Italy 9 190 1.7× 231 2.1× 11 0.4× 12 0.7× 36 5.1× 55 291

Countries citing papers authored by Carlos Ciller

Since Specialization
Citations

This map shows the geographic impact of Carlos Ciller's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Carlos Ciller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Ciller more than expected).

Fields of papers citing papers by Carlos Ciller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Carlos Ciller. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Carlos Ciller. The network helps show where Carlos Ciller may publish in the future.

Co-authorship network of co-authors of Carlos Ciller

This figure shows the co-authorship network connecting the top 25 collaborators of Carlos Ciller. A scholar is included among the top collaborators of Carlos Ciller based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Carlos Ciller. Carlos Ciller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
1.
2.
González, Rodrigo Abreu, Romina Mayra Lasagni Vitar, Carlos Ciller, et al.. (2025). Validation of artificial intelligence algorithm LuxIA for screening of diabetic retinopathy from a single 45° retinal colour fundus images: the CARDS study. BMJ Open Ophthalmology. 10(1). e002109–e002109.
3.
Vitar, Romina Mayra Lasagni, Rodrigo Abreu González, J. Donate-López, et al.. (2023). Development of LuxIA, a Cloud-Based AI Diabetic Retinopathy Screening Tool Using a Single Color Fundus Image. Translational Vision Science & Technology. 12(11). 38–38. 4 indexed citations
4.
Montesel, Andrea, Agata Mosinska, Stefanos Apostolopoulos, et al.. (2022). Automated foveal location detection on spectral-domain optical coherence tomography in geographic atrophy patients. Graefe s Archive for Clinical and Experimental Ophthalmology. 260(7). 2261–2270. 2 indexed citations
5.
Mosinska, Agata, et al.. (2021). Fully-automated atrophy segmentation in dry age-related macular degeneration in optical coherence tomography. Scientific Reports. 11(1). 21893–21893. 20 indexed citations
6.
Mantel, Irmela, Agata Mosinska, Ciara Bergin, et al.. (2021). Automated Quantification of Pathological Fluids in Neovascular Age-Related Macular Degeneration, and Its Repeatability Using Deep Learning. Translational Vision Science & Technology. 10(4). 17–17. 26 indexed citations
7.
Mosinska, Agata, Andrea Montesel, Stefanos Apostolopoulos, et al.. (2021). Personalized Atrophy Risk Mapping in Age-Related Macular Degeneration. Translational Vision Science & Technology. 10(13). 18–18. 15 indexed citations
8.
Apostolopoulos, Stefanos, Carlos Ciller, Andreas Ebneter, et al.. (2020). Automatically Enhanced OCT Scans of the Retina: A proof of concept study. Scientific Reports. 10(1). 7819–7819. 19 indexed citations
9.
Zanet, Sandro De, Agata Mosinska, Ciara Bergin, et al.. (2020). Automated detection and quantification of pathological fluid in neovascular age-related macular degeneration using a deep learning approach. 61(7). 1655–1655. 5 indexed citations
10.
Vente, Coen de, Carlos Ciller, Sandro De Zanet, et al.. (2020). Estimating Uncertainty of Deep Neural Networks for Age-related Macular Degeneration Grading using Optical Coherence Tomography. 61(7). 1630–1630. 3 indexed citations
11.
Huf, Wolfgang, Karen B. Schaal, Chantal Dysli, et al.. (2019). Comparison of Choroidal Thickness Measurements Using Spectral Domain Optical Coherence Tomography in Six Different Settings and With Customized Automated Segmentation Software. Translational Vision Science & Technology. 8(3). 5–5. 2 indexed citations
12.
Ciller, Carlos, Sandro De Zanet, Konstantinos Kamnitsas, et al.. (2017). Multi-channel MRI segmentation of eye structures and tumors using patient-specific features. PLoS ONE. 12(3). e0173900–e0173900. 10 indexed citations
13.
Ciller, Carlos, Stefanos Apostolopoulos, Francis L. Munier, et al.. (2017). Automatic Segmentation of Retinoblastoma in Fundus Image Photography using Convolutional Neural Networks. 58(8). 3332–3332. 3 indexed citations
14.
Apostolopoulos, Stefanos, et al.. (2016). RetiNet: Automatic AMD identification in OCT volumetric data. arXiv (Cornell University). 58(8). 387–387. 9 indexed citations
15.
Ciller, Carlos, Alessia Pica, Raphael Sznitman, et al.. (2015). Automatic Segmentation of the Eye in 3D Magnetic Resonance Imaging: A Novel Statistical Shape Model for Treatment Planning of Retinoblastoma. International Journal of Radiation Oncology*Biology*Physics. 92(4). 794–802. 17 indexed citations
16.
Ciller, Carlos, Tobias Rudolph, Philippe Maeder, et al.. (2014). Landmark Detection for Fusion of Fundus and MRI Toward a Patient-Specific Multimodal Eye Model. IEEE Transactions on Biomedical Engineering. 62(2). 532–540. 8 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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Rankless by CCL
2026